1.8 KiB
1.8 KiB
title, type, tags, last_updated
| title | type | tags | last_updated |
|---|---|---|---|
| idea-reality-mcp | entity | 2026-04-22 |
Overview
基于 MCP（Model Context Protocol） 的竞争分析 MCP 服务器，在 AI 项目启动前扫描 GitHub、Hacker News、npm、PyPI、Product Hunt 五个真实数据源，返回 reality_signal 分数（0-100）评估赛道拥挤度，并提供竞品信息和转向建议。
Type
产品 / MCP Server
Installation
uvx idea-reality-mcp
Configuration (OpenClaw)
{
"mcpServers": {
"idea-reality": {
"command": "uvx",
"args": ["idea-reality-mcp"]
}
}
}
API: idea_check()
输入：项目想法描述（字符串） 输出：
reality_signal：0-100 拥挤度评分top_competitors：竞品列表（含 stars、描述）pivot_hints：转向建议
Usage Rules (OpenClaw Instructions)
Before starting any new project, feature, or tool, always run idea_check first.
Rules:
- If reality_signal > 70: STOP. Report top 3 competitors with star counts.
Ask if I want to proceed, pivot, or abandon.
- If reality_signal 30-70: Show results and pivot_hints.
Suggest a niche angle that existing projects don't cover.
- If reality_signal < 30: Proceed to build.
Mention that the space is open.
- Always show the reality_signal score and top competitors before writing any code.
Data Sources
- GitHub（仓库数量、Star 分布）
- Hacker News（讨论热度）
- npm（Node.js 包生态）
- PyPI（Python 包生态）
- Product Hunt（早期产品关注度）